A Novel Control Technique Based on Multi-Objective Intelligent Routing Algorithms for Optimum Performances of 12/8 Switched Reluctance Motor

Abstract

Many objects for better performances in the 12/8 Switched Reluctance Motor (SRM) have been covered in this paper. The idea aimed to a new strategy in the control of this kind of machines for technical improvement by reducing torque ripple with better speed control and economic improvement by reducing the number of switchings. Minimum torque ripple with speed control and minimum number of switchings are the objects that are addressed by combining the Multi-Objectives Particle Swarm Optimization (MO-PSO) algorithm and Hysteresis Current Control (HCC). To achieve the effectiveness of the proposed strategy, the following steps must be taken. The first step is to determine the nonlinear characteristic of 12/8 SRM by Finite Element Method (FEM) for the dynamic model and for the estimation of the instantaneous torque by using the technical look-up table. The second step is the speed control using the SRM by HCC, then pair the MO-PSO with the HCC to determine the optimal parameters for each impact parameters like the turn on, the turn off angles (θon, θoff) and the hysteresis band for the control of the number of switching. Finally, the graphical and the numerical results confirm and approve the effectiveness of the proposed association between intelligent metaheuristic algorithms and the HCC control to improve the technical-economic performance of the 12/8 SRM considering different conditional loads and speeds.